NOC Marine Systems Modelling
Lead Research Organisation:
NATIONAL OCEANOGRAPHY CENTRE
Department Name: UNLISTED
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
- NATIONAL OCEANOGRAPHY CENTRE (Lead Research Organisation)
- National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) (Collaboration)
- Meteorological Office UK (Collaboration)
- Mercator Océan (Collaboration)
- Euro-Mediterranean Center on Climate Change (CMCC) (Collaboration)
People |
ORCID iD |
Jason Holt (Principal Investigator) |
Publications
Bricheno L
(2013)
Effect of High-Resolution Meteorological Forcing on Nearshore Wave and Current Model Performance
in Journal of Atmospheric and Oceanic Technology
Henson S
(2024)
Effect of sampling bias on global estimates of ocean carbon export
in Environmental Research Letters
Luneva M
(2015)
Effects of mesoscale eddies in the active mixed layer: test of the parametrisation in eddy resolving simulations
in Geophysical & Astrophysical Fluid Dynamics
Pollmann F
(2015)
Effects of the Asymmetry between Surface and Interior Flow on the Dynamics of a Thermohaline Loop
in Journal of Physical Oceanography
Frajka-Williams E
(2017)
Emerging negative Atlantic Multidecadal Oscillation index in spite of warm subtropics.
in Scientific reports
Anderson T
(2015)
EMPOWER-1.0: an Efficient Model of Planktonic ecOsystems WrittEn in R
Anderson T
(2015)
EMPOWER-1.0: an Efficient Model of Planktonic ecOsystems WrittEn in R
in Geoscientific Model Development
Josey S
(2019)
Encyclopedia of Ocean Sciences
Trevail A
(2018)
Environmental heterogeneity amplifies behavioural response to a temporal cycle
in Oikos
Trevail AM
(2019)
Environmental heterogeneity decreases reproductive success via effects on foraging behaviour.
in Proceedings. Biological sciences
Trevail AM
(2021)
Environmental heterogeneity promotes individual specialisation in habitat selection in a widely distributed seabird.
in The Journal of animal ecology
Clark M
(2020)
Environmental Impact Assessments for deep-sea mining: Can we improve their future effectiveness?
in Marine Policy
Ogle S
(2018)
Episodic Southern Ocean Heat Loss and Its Mixed Layer Impacts Revealed by the Farthest South Multiyear Surface Flux Mooring
in Geophysical Research Letters
Swingedouw D
(2013)
Erratum to: Initialisation and predictability of the AMOC over the last 50 years in a climate model
in Climate Dynamics
Marín-Moreno H
(2015)
Estimates of future warming-induced methane emissions from hydrate offshore west S valbard for a range of climate models
in Geochemistry, Geophysics, Geosystems
Koch-Larrouy A
(2015)
Estimates of tidal mixing in the Indonesian archipelago from multidisciplinary INDOMIX in-situ data
in Deep Sea Research Part I: Oceanographic Research Papers
Fernandes J
(2016)
Estimating the ecological, economic and social impacts of ocean acidification and warming on UK fisheries
in Fish and Fisheries
Megann A
(2018)
Estimating the numerical diapycnal mixing in an eddy-permitting ocean model
in Ocean Modelling
Bruneau N
(2020)
Estimation of global coastal sea level extremes using neural networks
in Environmental Research Letters
Wolf J
(2017)
Estuarine and coastal hydrography and sediment transport
Ortega-Cisneros K
(2018)
Evaluating the effects of climate change in the southern Benguela upwelling system using the Atlantis modelling framework
in Fisheries Oceanography
Yool A
(2021)
Evaluating the physical and biogeochemical state of the global ocean component of UKESM1 in CMIP6 historical simulations
in Geoscientific Model Development
Johnson M
(2012)
Evaluation of Arctic sea ice thickness simulated by Arctic Ocean Model Intercomparison Project models
in Journal of Geophysical Research: Oceans
Almansi M
(2020)
Evolution of Denmark Strait Overflow Cyclones and Their Relationship to Overflow Surges
in Geophysical Research Letters
Lucas N
(2019)
Evolution of Oceanic Near-Surface Stratification in Response to an Autumn Storm
in Journal of Physical Oceanography
Williamson D
(2014)
Evolving Bayesian Emulators for Structured Chaotic Time Series, with Application to Large Climate Models
in SIAM/ASA Journal on Uncertainty Quantification
Berthou S
(2024)
Exceptional atmospheric conditions in June 2023 generated a northwest European marine heatwave which contributed to breaking land temperature records
in Communications Earth & Environment
Challenor P
(2017)
Experimental design for the validation of kriging metamodels in computer experiments
in Journal of Simulation
Megann A
(2021)
Exploring Viscosity Space in an Eddy-Permitting Global Ocean Model: Is Viscosity a Useful Control for Numerical Mixing?
in Journal of Advances in Modeling Earth Systems
Lovecchio E
(2023)
Export of Dissolved Organic Carbon (DOC) compared to the particulate and active fluxes near South Georgia, Southern Ocean
in Deep Sea Research Part II: Topical Studies in Oceanography
Josey SA
(2015)
Extraordinary Ocean Cooling and New Dense Water Formation in the North Atlantic [in "State of the Climate in 2014"]
in Bulletin of the American Meteorological Society
Dacre H
(2020)
Extratropical-cyclone-induced sea surface temperature anomalies in the 2013-2014 winter
in Weather and Climate Dynamics
Grist J
(2015)
Extreme air-sea interaction over the North Atlantic subpolar gyre during the winter of 2013-2014 and its sub-surface legacy
in Climate Dynamics
Josey S
(2019)
Extreme Variability in Irminger Sea Winter Heat Loss Revealed by Ocean Observatories Initiative Mooring and the ERA5 Reanalysis
in Geophysical Research Letters
Nousek-McGregor A
(2023)
Fair Winds and Following Seas Remotely: Modifying Perceptions of Fieldwork as a Requirement in Marine Science to Aid in Diversifying the Discipline
in Oceanography
Robinson J
(2017)
Far-field connectivity of the UK 's four largest marine protected areas: Four of a kind?
in Earth's Future
Williamson D
(2012)
Fast Linked Analyses for Scenario-Based Hierarchies
in Journal of the Royal Statistical Society Series C: Applied Statistics
Chen S
(2015)
Features of near-inertial motions observed on the northern South China Sea shelf during the passage of two typhoons
in Acta Oceanologica Sinica
Meijers A
(2023)
Finale: impact of the ORCHESTRA/ENCORE programmes on Southern Ocean heat and carbon understanding
in Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Schulz E
(2012)
First air-sea flux mooring measurements in the Southern Ocean
in Geophysical Research Letters
Jevrejeva S
(2018)
Flood damage costs under the sea level rise with warming of 1.5 °C and 2 °C
in Environmental Research Letters
Soane E
(2010)
Flood Perception and Mitigation: The Role of Severity, Agency, and Experience in the Purchase of Flood Protection, and the Communication of Flood Information
in Environment and Planning A: Economy and Space
Gastineau G
(2023)
Forcing and impact of the Northern Hemisphere continental snow cover in 1979-2014
in The Cryosphere
Mamnun N
(2020)
Forcing ocean model with atmospheric model outputs to simulate storm surge in the Bangladesh coast
in Tropical Cyclone Research and Review
Broadbridge M
(2016)
Forcing of the overturning circulation across a circumpolar channel by internal wave breaking
in Journal of Geophysical Research: Oceans
Description | The mission of the Marine Systems Modelling group is to advance our understanding of the marine environment and improve our ability to predict the Earth System on timescales of days to centuries. We work at national, regional and global scales from the coasts to the open ocean and specifically consider the dynamic links between these scales. We achieve this mission through the development, application, assessment and analysis of world-leading ocean models. We aim to exploit this understanding and capability to address societally relevant issues and deliver clear and traceable impacts. |
Exploitation Route | a wide range of scientific, innovation and policy relevant application involving ocean models. |
Sectors | Aerospace Defence and Marine Agriculture Food and Drink Digital/Communication/Information Technologies (including Software) Environment Leisure Activities including Sports Recreation and Tourism Transport |
URL | http://noc.ac.uk/science/research-areas/marine-systems-modelling |
Description | The findings of this award have been used as follows:- • Climate change impacts Man-made climate change has been estimated to cost the UK economy 5-20% of Gross Domestic Product (GDP)1 amounting to £80-320 billion for 2011 GDP2. The National Oceanography Centre (NOC) is providing impartial, independent, world-leading expertise in developing the international scientific consensus that informs the Intergovernmental Panel on Climate Change (IPCC) series of Assessment Reports3. NOC provides authoritative oceanographic scientific evidence to underpin the assessments, necessary as climate change has enormous economic and societal implications. NOC research is a significant contributor to the international delivery of evidence on ocean circulation, global temperature, sea level and climate. In response to research evidence presented by the IPCC the UK parliament passed the world's first long-term legally binding framework to tackle the dangers of climate change (The Climate Change Act 20086). The act requires Government to set carbon budgets, which are limits on greenhouse gas emissions in the UK for consecutive five-year periods. In addition to IPCC assessments, NOC data and expertise, including sea-level from PSMSL (Permanent Service for Mean Sea Level), inform studies of impacts of climate change on both national and international levels [e.g. UK Marine Climate Change Impacts Partnership (MCCIP), UK Climate Impacts Programme (UKCIP), UK Foresight Flood and Coastal Defence Review, Charting Progress and Charting Progress 2 • Sustainability and health of UK National seas NOC was pivotal in providing advice and evidence feeding into UK assessments on "clean, healthy, safe, productive and biologically diverse oceans and seas". These underpin legislation aimed at achieving this vision, specifically the EU Marine Strategy Framework Directive. In the UK this took the form of the report: "Charting Progress 2 (CP2): The State of UK Seas", and the on-going Evidence Groups. Alongside this, the Marine Climate Change Impacts Partnership (MCCIP) and UKCP09 (UK Climate Projections 09) provide assessments of potential future conditions and substantially contributing to the on-going UKCP18 assessment. NOC is the leading UK organisation for providing this evidence, advice, information and future projections for physical oceanography. Its scientists were lead / co-authors for CP2 "Ocean Processes" chapter, most MCCIP science reviews, and the UKCP09 Marine Section. • Improved seasonal forecasting Improved seasonal forecasting of UK winter weather conditions months in advance is key to our ability to manage our environment and resources responsibly, and to be resilient to hazards. For instance, environmental change will affect our infrastructure (through storms, flooding and coastal erosion - particularly damaging for the South-west coastline and the Somerset levels during the winter of 2013/14), food, water and energy resources (changes to rainfall and wind) and the health of our population (the incidence of influenza is related to winter temperatures). Improved seasonal forecasting is therefore of immense societal importance for the UK population, and to our Government for planning and policy development. Many sectors of the UK economy (transport, agriculture, health, etc) need accurate forecasts of weather conditions many months in advance (seasonal forecasts) for planning purposes. These forecasts are provided to UK Government by operational systems run at the Met Office. Through a major strategic partnership, the Joint Weather and Climate Research Programme, a coordinated programme of effort has been established between NOC and the Met Office to provide the best possible ocean models to Met Office forecasting systems. New higher resolution ocean models have in this way been included in the latest seasonal forecasting systems and have led to a dramatic improvement in the skill of winter forecasts for the UK, with widespread benefits to the UK. NOC also works with Met Office in the UK Environmental Prediction Project to develop a national scale land-sea-wave-atmosphere couple system with the aim of improving forecasting of environmental hazards such as coastal flooding and extreme rain fall events. NOC plays a pivotal role in the development and assessment of marine forecasts and reanalysing products delivered by the Copernicus Marine Environmental Monitoring Service. These provide key environmental information for a range of downstream industrial, operational and policy stakeholders. |
Sector | Aerospace, Defence and Marine,Agriculture, Food and Drink,Energy,Environment,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Government, Democracy and Justice,Transport |
Impact Types | Societal Economic Policy & public services |
Description | Climate Change Impacts |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | Man-made climate change has been estimated to cost the UK economy 5-20% of Gross Domestic Product (GDP)1 amounting to £80-320 billion for 2011 GDP2. The National Oceanography Centre (NOC) is providing impartial, independent, world-leading expertise in developing the international scientific consensus that informs the Intergovernmental Panel on Climate Change (IPCC) series of Assessment Reports3. NOC provides authoritative oceanographic scientific evidence to underpin the assessments, necessary as climate change has enormous economic and societal implications. NOC research is a significant contributor to the international delivery of evidence on ocean circulation, global temperature, sea level and climate. In response to research evidence presented by the IPCC the UK parliament passed the world's first long-term legally binding framework to tackle the dangers of climate change (The Climate Change Act 20086). The act requires Government to set carbon budgets, which are limits on greenhouse gas emissions in the UK for consecutive five-year periods. In addition to IPCC assessments, NOC data and expertise, including sea-level from PSMSL (Permanent Service for Mean Sea Level), inform studies of impacts of climate change on both national and international levels [e.g. UK Marine Climate Change Impacts Partnership (MCCIP), UK Climate Impacts Programme (UKCIP), UK Foresight Flood and Coastal Defence Review, Charting Progress and Charting Progress 2. |
Description | Improved Seasonal Forecasting |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Impact | Improved seasonal forecasting of UK winter weather conditions months in advance is key to our ability to manage our environment and resources responsibly, and to be resilient to hazards. For instance, environmental change will affect our infrastructure (through storms, flooding and coastal erosion - particularly damaging for the South-west coastline and the Somerset levels during the winter of 2013/14), food, water and energy resources (changes to rainfall and wind) and the health of our population (the incidence of influenza is related to winter temperatures). Improved seasonal forecasting is therefore of immense societal importance for the UK population, and to our Government for planning and policy development. Many sectors of the UK economy (transport, agriculture, health, etc) need accurate forecasts of weather conditions many months in advance (seasonal forecasts) for planning purposes. These forecasts are provided to UK Government by operational systems run at the Met Office. Through a major strategic partnership, the Joint Weather and Climate Research Programme, a coordinated programme of effort has been established between NOC and the Met Office to provide the best possible ocean models to Met Office forecasting systems. New higher resolution ocean models have in this way been included in the latest seasonal forecasting systems and have led to a dramatic improvement in the skill of winter forecasts for the UK, with widespread benefits to the UK. |
Description | Sustainability and health of UK national seas |
Geographic Reach | Asia |
Policy Influence Type | Citation in other policy documents |
Impact | NOC was pivotal in providing advice and evidence feeding into UK assessments on "clean, healthy, safe, productive and biologically diverse oceans and seas". These underpin legislation aimed at achieving this vision, specifically the EU Marine Strategy Framework Directive. In the UK this took the form of the report: "Charting Progress 2 (CP2): The State of UK Seas", and the on-going Evidence Groups. Alongside this, the Marine Climate Change Impacts Partnership (MCCIP) and UKCP09 (UK Climate Projections 09) provide assessments of potential future conditions. NOC is the leading UK organisation for providing this evidence, advice, information and future projections for physical oceanography. Its scientists were lead / co-authors for CP2 "Ocean Processes" chapter, most MCCIP science reviews, and the UKCP09 Marine Section. |
Description | Sources, impacts and solutions for plastics in South East Asia coastal environments |
Amount | £53,772 (GBP) |
Funding ID | NE/V009591/1 |
Organisation | Natural Environment Research Council |
Sector | Public |
Country | United Kingdom |
Start | 11/2020 |
End | 11/2024 |
Description | NEMO Consortium |
Organisation | Euro-Mediterranean Center on Climate Change (CMCC) |
Country | Italy |
Sector | Charity/Non Profit |
PI Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
Collaborator Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
Impact | The consortium provides regular model code updates (currently V4). These form the basis for most model based operational, climate and research oceanography in Europe, including the UK, Frence and italian contributions the CMIP process informing the IPCC Assessment and Special Reports, and also the Copernicus Marine Environmental Monitoring Service. |
Start Year | 2008 |
Description | NEMO Consortium |
Organisation | Mercator Océan |
Country | France |
Sector | Private |
PI Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
Collaborator Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
Impact | The consortium provides regular model code updates (currently V4). These form the basis for most model based operational, climate and research oceanography in Europe, including the UK, Frence and italian contributions the CMIP process informing the IPCC Assessment and Special Reports, and also the Copernicus Marine Environmental Monitoring Service. |
Start Year | 2008 |
Description | NEMO Consortium |
Organisation | Meteorological Office UK |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
Collaborator Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
Impact | The consortium provides regular model code updates (currently V4). These form the basis for most model based operational, climate and research oceanography in Europe, including the UK, Frence and italian contributions the CMIP process informing the IPCC Assessment and Special Reports, and also the Copernicus Marine Environmental Monitoring Service. |
Start Year | 2008 |
Description | NEMO Consortium |
Organisation | National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS) |
Country | France |
Sector | Academic/University |
PI Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
Collaborator Contribution | The NEMO consortium mainains and developes the NEMO (Nucleus for European Modelling of the Ocean) ocean model. This is a state-of-the-art modelling framework for research activities and forecasting services in ocean and climate sciences, developed in a sustainable way by a European consortium. |
Impact | The consortium provides regular model code updates (currently V4). These form the basis for most model based operational, climate and research oceanography in Europe, including the UK, Frence and italian contributions the CMIP process informing the IPCC Assessment and Special Reports, and also the Copernicus Marine Environmental Monitoring Service. |
Start Year | 2008 |
Description | NOC and Met Office Collaboration |
Organisation | Meteorological Office UK |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Under the Joint Weather and Climate Research Programme (JWCRP) between NERC and the Met Office, we have forged a strong strategic partnership with the Met Office. This takes the form of the Joint Marine Modelling Project (JMMP; formerly JOMP; the Joint Ocean Modelling Programme and JCOMP; the Joint Coastal Ocean Modelling Programme). JMMP comprises staff from both NOC (from the Marine Systems Modelling group) and the Met Office and enables the best possible versions of the NEMO global and coastal-ocean models to be taken up into predictive systems at the Met Office (for ocean forecasting, coupled weather forecasting, seasonal prediction, decadal prediction, and climate and earth system modelling). Successive versions of NEMO are developed internationally on a regular cycle and have a number of new options. The benefit of these options are assessed both individually and in various combinations through undertaking decadal timescale simulations on MONSooN, a supercomputer facility shared between NERC and the Met Office, and identical in architecture to the main Met Office supercomputer. Once the optimal combination of options has been ascertained, the NEMO model can then be rapidly and easily taken up into the predictive systems at the Met Office. The cycle is repeated approximately every 1-2 years. The shelf seas activities, specifically support the models run operationally in the shelf sea forecasting and reanalysis system at the Met Office and delivered by the European Copernicus Marine Environmental Monitoring Service. Alongside JMMP, the National Partnership for Ocean Prediction (formally known as the National Centre for Ocean Forecasting) aims to develop and promote the application of world-leading marine products and services to stakeholders, with a focus on national and public benefit. This is achieved firstly through the integration of models, observations and scientific understanding to produce the best information and advice about the marine environment, with rigorous quality assurance and traceability; and secondly through engaging with stakeholders to understand their requirements and to maximise the beneficial use of marine products and services. |
Collaborator Contribution | Under the Joint Weather and Climate Research Programme (JWCRP) between NERC and the Met Office, we have forged a strong strategic partnership with the Met Office. This takes the form of the Joint Marine Modelling Project (JMMP; formerly JOMP; the Joint Ocean Modelling Programme and JCOMP; the Joint Coastal Ocean Modelling Programme). JMMP comprises staff from both NOC (from the Marine Systems Modelling group) and the Met Office and enables the best possible versions of the NEMO global and coastal-ocean models to be taken up into predictive systems at the Met Office (for ocean forecasting, coupled weather forecasting, seasonal prediction, decadal prediction, and climate and earth system modelling). Successive versions of NEMO are developed internationally on a regular cycle and have a number of new options. The benefit of these options are assessed both individually and in various combinations through undertaking decadal timescale simulations on MONSooN, a supercomputer facility shared between NERC and the Met Office, and identical in architecture to the main Met Office supercomputer. Once the optimal combination of options has been ascertained, the NEMO model can then be rapidly and easily taken up into the predictive systems at the Met Office. The cycle is repeated approximately every 1-2 years. The shelf seas activities, specifically support the models run operationally in the shelf sea forecasting and reanalysis system at the Met Office and delivered by the European Copernicus Marine Environmental Monitoring Service. Alongside JMMP, the National Partnership for Ocean Prediction (formally known as the National Centre for Ocean Forecasting) aims to develop and promote the application of world-leading marine products and services to stakeholders, with a focus on national and public benefit. This is achieved firstly through the integration of models, observations and scientific understanding to produce the best information and advice about the marine environment, with rigorous quality assurance and traceability; and secondly through engaging with stakeholders to understand their requirements and to maximise the beneficial use of marine products and services. |
Impact | NEMO model configurations. NW European Shelf Operational Copernicus service. |
Start Year | 2008 |
Title | The Marine Model Optimization Testbed (MarMOT) 1.1 software http://noc.ac.uk/project/marmot/marmot-11-software |
Description | Overview document available at: http://nora.nerc.ac.uk/504004/ Types of beneficiary include: Research Council/Institute;Public Research Organisation |
Type Of Technology | Software |
URL | http://noc.ac.uk/project/marmot/marmot-11-software |
Title | Vertical Discretization In NEMO |
Description | |
Type Of Technology | Software |